Map demand and the critical flows
Review the architecture, deployment and expected traffic. Follow search, product, cart and order requests through the services involved. Agree the components, access and evidence available for the audit.
Understand where your ecommerce backend may struggle as traffic and data volumes increase. We review the critical request paths and supporting systems, connect findings to available evidence and produce a prioritized plan for optimization and capacity testing. The audit package includes setup of our load-testing platform for the agreed environment and scenarios.
Discuss your projectReview the architecture, deployment and expected traffic. Follow search, product, cart and order requests through the services involved. Agree the components, access and evidence available for the audit.
Investigate expensive queries, repeated data access, indexes, locks and transaction boundaries. Review synchronous external calls, connection limits and work that grows with catalog or order volume.
Check cache invalidation, missed-cache behavior and separation of public and private data. Review worker throughput, retry policies, duplicate processing and what happens when a dependency slows down.
Set up our platform against the agreed test environment and configure scenarios around the critical request paths. Agree traffic levels and stop conditions with your team, then use the results alongside traces and metrics to investigate bottlenecks.
Use available traces, logs and metrics to assess likely impact. Separate observed problems from risks that still need an experiment. Prioritize changes, identify their owners and define how to verify each improvement.
The audit combines code and architecture review with setup of our load-testing platform. We agree the environment, scenarios and traffic levels as part of the audit scope, and use test results to validate findings. Capacity conclusions apply to the tested conditions; they are not a blanket guarantee for all production traffic.
Typically source code, relevant configuration and architecture information, plus agreed logs, traces and metrics. Database diagnostics can use restricted access. We document gaps when evidence is unavailable and arrange credentials through an agreed secure channel.
Yes, with an explicitly limited scope. Code, staging and saved diagnostics can reveal issues, but they do not reproduce every production condition. The report distinguishes confirmed findings from hypotheses and missing evidence.
The audit delivers findings and an implementation plan. Your team can apply them, or we can agree a separate optimization scope and verification step. Changes to production are not an automatic part of the audit.
Tell us what you need to build or improve. We’ll discuss the task, estimate the work and agree the next steps.
Discuss your project